过程变化影响同步和异步noc的系统级模拟器

S. Muhammad, A. El-Moursy, M. El-Moursy, H. Hamed
{"title":"过程变化影响同步和异步noc的系统级模拟器","authors":"S. Muhammad, A. El-Moursy, M. El-Moursy, H. Hamed","doi":"10.1109/SOCC.2017.8226065","DOIUrl":null,"url":null,"abstract":"System-Level simulator is proposed to determine the ability of synchronous and asynchronous NoCs to alleviate the process variation effect. Throughput variation and different delay components variation are provided by the newly developed framework. System-Level simulation shows similarities with circuit-level simulation in terms of behavior and performance variation trend when moving from one technology node to another. Clock skew significantly degrades synchronous NoCs performance. Clock skew is more obvious with process variation. Despite the handshaking overhead, asynchronous NoC may be more immune to process variation than synchronous networks. PV-aware routing algorithm reduces the performance degradation to 8.3% and 11.4% for 45nm and 32nm asynchronous NoCs respectively. Using different traffic workloads and PV-unaware routing algorithm, synchronous networks lose on average 17.7% and 27.8% of nominal throughput for 45nm and 32nm technologies, respectively due to process variation. Whereas, asynchronous NoC throughput degradation is about 7.4% and 11.5% for 45nm and 32nm, respectively. In addition to technology scaling, NoC scaling also affects the throughput degradation. 256-core NoC shows the highest throughput degradation of 16% and 22% for asynchronous NoC for 45nm and 32nm technologies respectively.","PeriodicalId":366264,"journal":{"name":"2017 30th IEEE International System-on-Chip Conference (SOCC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"System-level simulator for process variation influenced synchronous and asynchronous NoCs\",\"authors\":\"S. Muhammad, A. El-Moursy, M. El-Moursy, H. Hamed\",\"doi\":\"10.1109/SOCC.2017.8226065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"System-Level simulator is proposed to determine the ability of synchronous and asynchronous NoCs to alleviate the process variation effect. Throughput variation and different delay components variation are provided by the newly developed framework. System-Level simulation shows similarities with circuit-level simulation in terms of behavior and performance variation trend when moving from one technology node to another. Clock skew significantly degrades synchronous NoCs performance. Clock skew is more obvious with process variation. Despite the handshaking overhead, asynchronous NoC may be more immune to process variation than synchronous networks. PV-aware routing algorithm reduces the performance degradation to 8.3% and 11.4% for 45nm and 32nm asynchronous NoCs respectively. Using different traffic workloads and PV-unaware routing algorithm, synchronous networks lose on average 17.7% and 27.8% of nominal throughput for 45nm and 32nm technologies, respectively due to process variation. Whereas, asynchronous NoC throughput degradation is about 7.4% and 11.5% for 45nm and 32nm, respectively. In addition to technology scaling, NoC scaling also affects the throughput degradation. 256-core NoC shows the highest throughput degradation of 16% and 22% for asynchronous NoC for 45nm and 32nm technologies respectively.\",\"PeriodicalId\":366264,\"journal\":{\"name\":\"2017 30th IEEE International System-on-Chip Conference (SOCC)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 30th IEEE International System-on-Chip Conference (SOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCC.2017.8226065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 30th IEEE International System-on-Chip Conference (SOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCC.2017.8226065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

提出了系统级模拟器来确定同步和异步noc减轻过程变化效应的能力。新开发的框架提供了吞吐量变化和不同延迟分量的变化。系统级仿真与电路级仿真在从一个技术节点移动到另一个技术节点时的行为和性能变化趋势方面具有相似性。时钟倾斜会显著降低同步noc的性能。随着工艺的变化,时钟偏差更为明显。尽管有握手的开销,但异步NoC可能比同步网络更不受进程变化的影响。在45nm和32nm异步noc中,pv感知路由算法的性能下降分别为8.3%和11.4%。使用不同的流量工作负载和不知道pv的路由算法,同步网络在45nm和32nm技术下,由于工艺变化,分别平均损失17.7%和27.8%的标称吞吐量。而在45nm和32nm工艺中,异步NoC的吞吐量下降分别为7.4%和11.5%。除了技术扩展之外,NoC扩展也会影响吞吐量的降低。256核NoC在45nm和32nm技术下的吞吐量下降最高,分别为16%和22%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
System-level simulator for process variation influenced synchronous and asynchronous NoCs
System-Level simulator is proposed to determine the ability of synchronous and asynchronous NoCs to alleviate the process variation effect. Throughput variation and different delay components variation are provided by the newly developed framework. System-Level simulation shows similarities with circuit-level simulation in terms of behavior and performance variation trend when moving from one technology node to another. Clock skew significantly degrades synchronous NoCs performance. Clock skew is more obvious with process variation. Despite the handshaking overhead, asynchronous NoC may be more immune to process variation than synchronous networks. PV-aware routing algorithm reduces the performance degradation to 8.3% and 11.4% for 45nm and 32nm asynchronous NoCs respectively. Using different traffic workloads and PV-unaware routing algorithm, synchronous networks lose on average 17.7% and 27.8% of nominal throughput for 45nm and 32nm technologies, respectively due to process variation. Whereas, asynchronous NoC throughput degradation is about 7.4% and 11.5% for 45nm and 32nm, respectively. In addition to technology scaling, NoC scaling also affects the throughput degradation. 256-core NoC shows the highest throughput degradation of 16% and 22% for asynchronous NoC for 45nm and 32nm technologies respectively.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Content-aware line-based power modeling methodology for image signal processor Power and area evaluation of a fault-tolerant network-on-chip A low-pass continuous-time delta-sigma interface circuit for wideband MEMS gyroscope readout ASIC Lithography hotspot detection: From shallow to deep learning The path to global connectivity — Wireless communication enters the next generation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1